An AI scribe checklist for medical practices should cover more than whether a tool can turn a conversation into a note. Practices should understand how the system handles patient information, how recording and consent work, what the EHR connection actually does, and who is responsible for reviewing the final documentation.
A vendor’s general statement about privacy or HIPAA should not replace your own review of the tool’s data flows, safeguards, and contract. The following checklist can help a practice assess an AI scribe before a pilot or broader rollout. It is general information, not legal advice; involve your privacy, compliance, and legal advisers when needed.
Map the full encounter workflow
Start by tracing what happens from the moment a visit begins until its information is retained or deleted. Ask the vendor and your internal team to explain each step in plain language:
- How is the patient notified, and how is consent documented?
- When does audio capture begin and end, and can a clinician pause or stop it?
- Where are audio, transcripts, prompts, logs, and generated notes processed and stored?
- Who can access each type of information, including vendor staff and subprocessors?
- How does the draft move into the EHR, and what happens if the transfer fails?
- When are audio and other temporary data deleted, and what information remains?
Keep audio, transcripts, and the final clinical note distinct in your review. A vendor may handle each differently. Understanding those separate data paths makes it easier to assess risks and set appropriate retention and access rules.
Review privacy, security, and vendor responsibilities
Ask for documentation that describes the vendor’s safeguards and responsibilities. A product marketed as HIPAA compliant does not, by itself, establish that its use fits your practice’s obligations. Review the actual service, configuration, data flows, and agreement.
- Business associate agreement: Determine whether the vendor performs a function involving protected health information on your practice’s behalf and, if so, whether a business associate agreement is needed. Confirm which services and data the agreement covers, along with the vendor’s responsibilities. For more context on practice-wide safeguards, see this overview of HIPAA compliance for medical practices.
- Model training: Ask directly whether patient data, audio, transcripts, prompts, or notes may be used to train or improve AI models. Get the answer in writing, including whether the practice can opt out and whether the setting applies to every service provider involved.
- Subprocessors: Ask which outside organizations may handle the data, what each one does, and how the vendor oversees them.
- Data minimization and access: Find out what information the system needs, whether unnecessary identifiers can be excluded, and how user access is controlled and reviewed.
- Security and incidents: Review how the vendor protects information and what its agreement says about notifying your practice of a suspected or confirmed incident. Identify who your practice contacts and what information the vendor will provide.
- Retention and deletion: Ask how long audio, transcripts, logs, and drafts are kept. Confirm how deletion works, including when service ends, and ask what evidence of deletion is available.
These questions are a useful starting point for a broader review of patient-data protections. You can also consult Zevonix’s guide to protecting patient data in a medical practice.
Make recording and consent workable for patients
Consent should be clear in the real flow of a visit, not buried in a general notice or left for staff to improvise. Decide how patients will learn that an AI scribe is being used, how their choice will be recorded, and what staff should do if they decline. Include a practical way to continue the visit without the tool.
Define when the recording starts and stops, who can pause it, and how the process handles sensitive discussions or a patient who changes their mind. Train staff on a consistent explanation that does not overpromise what the tool does or how information is handled.
Florida law addresses the interception and disclosure of communications, and whether a particular workflow is covered depends on the circumstances. Review the relevant Florida statute with qualified counsel before using a recording workflow. This article does not determine what consent is legally required for a specific visit.
Verify the EHR integration before relying on it
A claim that an AI scribe “integrates” with your EHR does not explain the details that matter to daily work. Ask the vendor to demonstrate the workflow using your intended configuration and user roles.
- Does the tool create a draft for clinician review, or can it enter information directly into the record?
- Which note sections and other fields can it populate?
- What permissions does the connection require, and can access be limited to what the workflow needs?
- How does the clinician edit, approve, and sign the note?
- How are duplicate entries, missing fields, or failed transfers identified and resolved?
- What is the backup workflow if the scribe or EHR connection is unavailable?
Plan the integration alongside your existing EHR processes, rather than treating it as a separate convenience feature. Zevonix’s overview of healthcare IT integration may help practices think through connections between clinical tools and core systems.
Test clinical accuracy and workflow fit
Do not assume that a polished demonstration proves the tool will work well for your specialty or patient population. Run a supervised pilot using realistic, de-identified or otherwise appropriately protected scenarios, and have clinicians compare drafts with what they intended to document.
Include the situations your team encounters, such as multiple speakers, interpreters, background noise, specialized terminology, and sensitive visits. Follow your privacy and consent procedures during any testing that uses real patient information. A simulation can reveal usability issues, but it may not fully reflect live clinical practice.
Agree on what the pilot will evaluate before it begins. Useful measures include the amount and type of clinician corrections, missing or inaccurate details, workflow interruptions, integration failures, and staff or patient concerns. Require a clinician to review and approve every note before it becomes part of the record. Make clear that the AI-generated draft is not a substitute for clinical judgment.
For a structured approach to assessing AI tools in clinical settings, consult the AMA’s AI Evaluation Guide and the APA’s guidance for evaluating AI scribes.
Read the contract for exit and accountability terms
Before adoption, make sure the written terms match what the sales discussion promised. The contract and related agreements should address the vendor’s handling of information, its use of subprocessors, incident notification, retention, and secure deletion.
Also ask what happens when the service ends. Confirm how your practice can retrieve records or other data it needs, how access is removed, and how the vendor handles remaining copies. Clarify support responsibilities during service interruptions and the process for raising unresolved issues. If a contract term is unclear, have the appropriate adviser review it before signing.
Frequently asked questions
Does an AI scribe vendor need to sign a HIPAA business associate agreement?
It depends on the vendor’s role and the services it performs for your practice. Determine whether the vendor handles protected health information on your behalf, identify the specific services involved, and ask your compliance or legal adviser whether a business associate agreement is required and what it should cover.
What happens to patient audio and transcripts after a note is generated?
That depends on the vendor’s design and contract. Ask separately about audio, transcripts, prompts, logs, and drafts. Confirm where each is stored, who can access it, how long it is retained, and how deletion is handled.
Can a vendor use patient data to train its AI models?
Do not assume the answer from a privacy summary or product description. Ask whether any patient information or visit content is used for training or improvement, including by subprocessors, and get the vendor’s response and any opt-out terms in writing.
How should a practice test AI scribe accuracy?
Use a supervised pilot with scenarios that reflect your specialty and workflow. Have clinicians review every draft, record correction patterns and integration problems, and confirm that the tool handles the patient situations your practice expects it to encounter.
What should the contract say about breaches, deletion, and ending the service?
Clarify incident notification and cooperation, retention and secure deletion, data export, access removal, and what happens to data held by subcontractors. Seek appropriate review if the agreement does not clearly describe these responsibilities.
Choose a tool with a reviewable workflow
A careful evaluation helps a practice consider patient choice, information handling, documentation quality, and day-to-day operations together. Use this checklist to guide vendor discussions, and document the decisions your team makes before expanding use. Zevonix helps healthcare practices simplify IT operations, maintain HIPAA compliance, and focus on patient care. To discuss the technology and security considerations for your practice, call (904) 658-0777.